Utilizing AI for Assessment, Grading, and Feedback in Higher Education

Utilizing AI for Assessment, Grading, and Feedback in Higher Education

Indexed In: SCOPUS
Release Date: May, 2024|Copyright: © 2024 |Pages: 376
DOI: 10.4018/979-8-3693-2145-4
ISBN13: 9798369321454|ISBN13 Softcover: 9798369350829|EISBN13: 9798369321461
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Description & Coverage
Description:

As artificial intelligence (AI) continues to increase, its impact on higher education presents immense opportunities and daunting challenges. Across campuses worldwide, educators grapple with integrating AI into academic practices, from grading to teaching methodologies. However, the widespread adoption of AI, fueled by models like ChatGPT and Google Bard, raises concerns about its potential to undermine the learning process and compromise academic integrity. This disruptive force demands urgent attention and informed strategies to navigate its complexities effectively.

Utilizing AI for Assessment, Grading, and Feedback in Higher Education emerges as a beacon of guidance for academic scholars, policymakers, and administrators in response to this pressing dilemma. Through a meticulous analysis of contemporary literature, the book comprehensively explores AI's role in higher education. By delving into topics ranging from assessment automation to ethical considerations, it equips readers with the knowledge and insights needed to harness AI's transformative potential while mitigating its pitfalls.

With contributions from leading experts across diverse disciplines, this book catalyzes interdisciplinary collaboration and innovation. By bridging the gap between AI specialists and higher education professionals, the publication has paved the way for a nuanced understanding of AI's implications and opportunities. Utilizing AI for Assessment, Grading, and Feedback in Higher Education is an indispensable resource for those seeking to navigate the AI revolution in academia with confidence and foresight, offering actionable recommendations and a roadmap for leveraging AI to enhance teaching, learning, and research in higher education.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Academic Administration Using AI
  • AI and Personalized Learning
  • AI in Research
  • AI-Powered Teaching
  • Assessment and Feedback Using AI
  • Designing and Creating Teaching Materials With AI
  • Efficient Timetabling and Scheduling With AI
  • Enhanced Student Registration and Enrollment With AI
  • Ethical Implications of AI in Higher Education
  • Facilitating Marking and Grading With AI
  • Performance Management With AI
  • Strategies for Implementing AI in Higher Education
  • The Future of AI in Higher Education
  • Utilizing AI in Communication and Student Support
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Editor/Author Biographies
Nasser Al Harrasi is an accomplished senior lecturer of Business Studies at the University of Technology and Applied Science-Muscat. With over a decade of diverse experience, he has held various roles in teaching, consultancy, and corporate management in Oman. Dr. Al Harrasi received his PhD in Human Resources Management from Binary University, College of Management & Entrepreneurship, Malaysia in 2020 and is also a Fellow of the UK Higher Education Academy. As a dedicated researcher, Dr. Al Harrasi is passionate about investigating topics related to HRM practices, organization behavior, and higher education. He has a successful track record of securing external funding and grant research opportunities and leads and supervises several research teams. His research has been published in reputable journals such as the Journal of Social Science and Business Management. Dr. Al Harrasi is a dynamic professional who is committed to excellence in teaching, research, and community service. He is well-respected by his colleagues and students for his inspiring leadership, mentoring, and contributions to the field of business studies.
Mohamed Salah El Din , a driven lecturer and researcher, pioneers AI applications in management and higher education. His master's in international Transport & Logistics from Arab Academy for Science, Technology and Maritime Transport (AAST), and extensive industry experience in shipping and logistics, bridge academic rigor with practical expertise. Certified by the Association for Supply Chain Management (ASCM) and having taken several courses on AI and digital transformation, Mohamed adds industry validation and cutting-edge knowledge to his research. Mohamed's accomplishments include publishing peer-reviewed articles, securing multiple research grants, and winning several research competitions. He has published on AI adoption in management, including a groundbreaking book on using ChatGPT in academia, and currently co-edits a book on the broader scope of AI use in higher education.
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